Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking
arXiv:2603.00267v1 Announce Type: new Abstract: Misinformation spreading over the Internet poses a significant threat to both societies and individuals, necessitating…
Jailbreak Foundry: From Papers to Runnable Attacks for Reproducible Benchmarking
arXiv:2602.24009v2 Announce Type: replace-cross Abstract: Jailbreak techniques for large language models (LLMs) evolve faster than benchmarks, making robustness estimates stale…
From Variance to Invariance: Qualitative Content Analysis for Narrative Graph Annotation
arXiv:2603.01930v1 Announce Type: cross Abstract: Narratives in news discourse play a critical role in shaping public understanding of economic events,…
Real Money, Fake Models: Deceptive Model Claims in Shadow APIs
arXiv:2603.01919v1 Announce Type: cross Abstract: Access to frontier large language models (LLMs), such as GPT-5 and Gemini-2.5, is often hindered…
Pseudo Contrastive Learning for Diagram Comprehension in Multimodal Models
arXiv:2602.23589v2 Announce Type: replace-cross Abstract: Recent multimodal models such as Contrastive Language-Image Pre-training (CLIP) have shown remarkable ability to align…
HumanMCP: A Human-Like Query Dataset for Evaluating MCP Tool Retrieval Performance
arXiv:2602.23367v1 Announce Type: new Abstract: Model Context Protocol (MCP) servers contain a collection of thousands of open-source standardized tools, linking…
Conformalized Neural Networks for Federated Uncertainty Quantification under Dual Heterogeneity
arXiv:2602.23296v2 Announce Type: replace-cross Abstract: Federated learning (FL) faces challenges in uncertainty quantification (UQ). Without reliable UQ, FL systems risk…
Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration
arXiv:2410.19450v2 Announce Type: replace Abstract: Offline-to-Online Reinforcement Learning has emerged as a powerful paradigm, leveraging offline data for initialization and…
Do LLMs Benefit From Their Own Words?
arXiv:2602.24287v1 Announce Type: cross Abstract: Multi-turn interactions with large language models typically retain the assistant’s own past responses in the…
MoDora: Tree-Based Semi-Structured Document Analysis System
arXiv:2602.23061v2 Announce Type: replace-cross Abstract: Semi-structured documents integrate diverse interleaved data elements (e.g., tables, charts, hierarchical paragraphs) arranged in various…